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Sample of APT reports, malware, technology, and intelligence collection Raw and tokenize data available. All data is available in this GitHub repository. [citation needed] blackorbird Offensive Language Identification Dataset (OLID) Data available in the project's website. Data is also available here. [367] Zampieri et al.
One thing the most visited websites have in common is that they are dynamic websites. Their development typically involves server-side coding, client-side coding and database technology. The programming languages applied to deliver such dynamic web content vary vastly between sites.
IGDB (Internet Games Database) IMDb (Internet Movie Database) INDUCKS; IndexMaster; Informit (database) Inorganic Crystal Structure Database; Interment.net
The Semantic Web Stack, also known as Semantic Web Cake or Semantic Web Layer Cake, illustrates the architecture of the Semantic Web. The Semantic Web is a collaborative movement led by international standards body the World Wide Web Consortium (W3C). [1] The standard promotes common data formats on the World Wide Web.
Elasticsearch is developed alongside the data collection and log-parsing engine Logstash, the analytics and visualization platform Kibana, and the collection of lightweight data shippers called Beats. The four products are designed for use as an integrated solution, referred to as the "Elastic Stack". [31] (Formerly the "ELK stack", short for ...
Portals are an older technology designed as an extension to traditional dynamic Web applications, in which the process of converting data content into marked-up Web pages is split into two phases: generation of markup "fragments" and aggregation of the fragments into pages.
show the data; induce the viewer to think about the substance rather than about methodology, graphic design, the technology of graphic production, or something else; avoid distorting what the data has to say; present many numbers in a small space; make large data sets coherent; encourage the eye to compare different pieces of data
Content-based image retrieval, also known as query by image content and content-based visual information retrieval (CBVIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey [1] for a scientific overview of the CBIR field).